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Prof. Wei-Lun Chao discussed the role of machine learning and computer vision in imageomics
By Tatyana Woodall, Ohio State News A new field promises to usher in a new era of using machine learning and computer vision to tackle small and large-scale questions about the biology of organisms around the globe. The field of imageomics aims to help explore fundamental questions about biological...
Imageomics team releases BioCLIP
By Tatyana Woodall Researchers have developed the largest-ever dataset of biological images suitable for use by machine learning – and a new vision-based artificial intelligence tool to learn from it. The findings in the new study significantly broaden the scope of what scientists can do using...
Imageomics poised to enable new understanding of life
Research on mimicry in butterflies provides one example By Jeff Grabmeier Imageomics, a new field of science, has made stunning progress in the past year and is on the verge of major discoveries about life on Earth, according to one of the founders of the discipline. Tanya Berger-Wolf , faculty...
Berger-Wolf Leads new AI for Biodiversity Change Global Climate Center
Imageomics Institute Director, Prof. Tanya Berger-Wolf will led the AI and Biodiversity Change (ABC) Global Climate Center, a new multimillion dollar international center that will use artificial intelligence to help researchers understand the impacts of climate change on biodiversity. The Center...

Images as the source of information about life

Biologists must analyze traits in order to understand the significance of patterns in the two billion-year evolutionary history of life and to predict future effects of environmental change or genetic manipulation. Images are by far the most abundant source of documentation of life on the planet—but traits of organisms cannot be readily extracted from them.

The question: How do we take hundreds of thousands of images and use them to answer fundamental biological questions about ecology and evolution? At the very least, how do we extract traits, such as the example of a bird guide?

The answer: We make traits computable. Biology meets machine learning and vice versa.

Introducing imageomics (NSF OAC-2118240)

Prof. Wei-Lun Chao discussed the role of machine learning and computer vision in imageomics
Imageomics poised to enable new understanding of life
Imageomics team releases BioCLIP
Imageomics is Hiring for a Communications & Engagement Manager
Imageomics 2024 All-hands Meeting